Abstract
Gabor phase retrieval is the problem of recovering a signal from the absolute values of Gabor transform, which has turned into a very active research area. In the paper, we define a generalized Paley–Wiener space, which is obtained by applying the special affine Fourier transform to \(L^{p}([-B,B])\,(2\le p\le \infty )\) and provide the uniqueness of the Gabor phase retrieval in the generalized Paley–Wiener space. When the window function \(\psi \) is the inverse special affine Fourier transform of \(\phi =2^{\frac{1}{4}}e^{-\pi x^{2}}\), we show that every signal in the generalized Paley–Wiener space can be uniquely recovered, up to a global sign, from its the magnitudes of Gabor measurement sampled on a rectangular lattice. Recently, Grohs, Liehr and Wellershoff studied the Gabor phase retrieval problems in the conventional Paley–Wiener space. The paper extends their results to the generalized Paley–Wiener space. Since the generalized Paley–Wiener space includes a broader class of signals, our results expand the applied range of the Gabor phase retrieval.
Similar content being viewed by others
Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
S. Abe, J.T. Sheridan, Optical operations on wave functions as the abelian subgroups of the special affine Fourier transformation. Opt. Lett. 19(22), 1801–1803 (1994)
R. Alaifari, M. Wellershok, Stability estimates for phase retrieval from discrete Gabor measurements. J. Fourier Anal. Appl. 27(6), 1–31 (2021)
R. Alaifari, M. Wellershoff, Uniqueness of STFT phase retrieval for bandlimited functions. Appl. Comput. Harmon. Anal. 50(1), 34–48 (2021)
R. Alaifari, M. Wellershoff, Phase retrieval from sampled Gabor transform magnitudes: counterexamples. J. Fourier Anal. Appl. 28(9), 1–8 (2022)
L. Almeida, The fractional Fourier transform and time–frequency representations. IEEE Tran. Signal Process 42(11), 3084–3091 (1994)
L. Auslander, R. Tolimieri, Radar ambiguity functions and group theory. SIAM J. Math. Anal. 16(3), 577–601 (1985)
A. Bhandari, A. Zayed, Shift-invariant and sampling spaces associated with the special affine Fourier transform. Appl. Comput. Harmon. Anal. 47(1), 30–52 (2019)
R.N. Bracewell, The Fourier Transform and its Applications (McGraw-Hill College, New York, 1986)
L. Bragg, The Rutherford memorial lecture 1960. The development of X-ray analysis. Proc. R. Soc. Lond. Ser. A 262(1309), 145–158 (1961)
W. Chen, Z. Fu, L. Grafakos, Y. Wu, Fractional Fourier transforms on \(L^{p}\) and applications. Appl. Comput. Harmon. Anal. 55(1), 71–96 (2021)
J. Dainty, J. Fienup, Phase retrieval and image reconstruction for astronomy. Image Recove. Theory Appl. 231, 275 (1987)
D. Griffin, J. Lim, Signal estimation from modified short-time Fourier transform. IEEE Trans. Acoust. Speech Signal Process. 32(2), 236–243 (1984)
K. Grochenig, Foundations of Time–Frequency Analysis (Springer Science Business Media, Berlin, 2001)
P. Grohs, L. Liehr, Injectivity of Gabor phase retrieval from lattice measurements. Appl. Comput. Harmon. Anal. 62(1), 173–193 (2022)
E. Hecht, A. Zajac, Optics (Addison-Wesley, Boston, 1974)
J. Hua, L. Liu, G.Q. Li, Extended fractional Fourier transforms. J. Opt. Soc. Am. A 14(12), 3316–3322 (1997)
P. Jaming, Uniqueness results in an extension of Pauli’s phase retrieval problem. Appl. Comput. Harmon. Anal. 37(3), 413–441 (2014)
P. Jaming, Phase retrieval techniques for radar ambiguity problems. J. Fourier Anal. Appl. 5(4), 309–329 (1999)
R. Millane, Phase retrieval in crystallography and optics. J. Opt. Soc. Am. A 7(3), 394–411 (1990)
S. Nawab, T. Quatieri, J. Lim, Signal reconstruction from short time Fourier transform magnitude. IEEE Trans. Acoust. Speech Signal Process. 31(4), 986–998 (1983)
L. Rabiner, B. Juang, Fundamentals of Speech Recognition (Prentice-Hall Inc, Hoboken, 1993)
W. Rudin, Real and Complex Analysis (McGraw-Hill Inc, New York, 1970)
V. Stojanovic, V. Filipovic, Adaptive input design for identification of output error model with constrained output. Circ. Syst. Signal Pr. 33, 97–113 (2014)
V. Stojanovic, N. Nedic, Robust Kalman filtering for nonlinear multivariable stochastic systems in the presence of non-Gaussian noise. Int. J. Robust Nonlin. 26(3), 445–460 (2015)
V. Stojanovic, N. Nedic, D. Prsic, L. Dubonjic, Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise. Appl. Math. Model. 40(13), 6676–6689 (2016)
M. Wellershoff, Injectivity of sampled Gabor phase retrieval in spaces with general integrability conditions. arXiv:2112.10136 (2021)
L. Xiao, W. Sun, Sampling theorems for signals periodic in the linear canonical transform domain. Opt. Commun. 290(1), 14–18 (2013)
Z. Xiyang, W. Deyun, Z. Wei, A generalized convolution theorem for the special affine Fourier transform and its application to filtering. Optik 127(5), 2613–2616 (2016)
R. Zalik, On approximation by shifts and a theorem of Wiener. Trans. Am. Math. Soc. 243, 299–308 (1978)
A.I. Zayed, Advances in Shannon’s sampling theory (Taylor Francis Group, Milton Park, 1993)
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This work was supported partially by the National Natural Science Foundation of China (12071230, 11971348, 11201336 and 11401435) and the Natural Science Research Project of Higher Education of Tianjin (2018KJ148).
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, Q., Wu, L., Guo, Z. et al. Gabor Phase Retrieval in the Generalized Paley–wiener Space. Circuits Syst Signal Process 43, 470–494 (2024). https://doi.org/10.1007/s00034-023-02485-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-023-02485-1